#multi-agent AI coding
738 related articles
Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·3 min
Multi-Agent Orchestration Framework: A Super AI Development Team of 98 Expert Agents
Deep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Product Reviews·3 min
awesome-LLM-resources: A Comprehensive Analysis of the 8,200-Star LLM Learning Resource Repository on GitHub
In-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
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Deep Dives·4 min
Context Engineering Explained: The AI Paradigm Shift from Prompt to Context Engineering
Deep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
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Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
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Product Reviews·3 min
awesome-LLM-resources: A Deep Dive into GitHub's 8K-Star Comprehensive LLM Learning Resource Repository
Deep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
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Tech Frontiers·2 min
OpenAI Symphony: One Codex Agent Per Task — A New Paradigm for Multi-Agent Parallel Programming
Deep dive into OpenAI's Symphony: assigning an independent Codex agent to each task for multi-agent parallel programming. Explore its architecture, developer impact, and industry trends.
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Deep Dives·3 min
Claude's Advisor Strategy: Small Models Execute, Large Models Supervise — A New Cost-Saving Paradigm for AI Agents
Anthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.
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Tutorials·3 min
Claude Code Domestic Alternative: Low-Cost Deployment and Six Core Architecture Components Explained
Detailed guide on deploying Claude Code domestic alternatives via compatible API interfaces. Deep dive into six core systems: built-in tools, hierarchical memory, multi-Agent collaboration, and more.
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Deep Dives·3 min
Augment Code Architecture Revealed: Dedicated Subagents Replace KV Cache, Cutting Costs by 90%
Deep dive into how Augment Code uses Mercury 2 dedicated subagents to replace traditional KV cache, achieving 82% faster context compaction, 90% lower summarization costs, and 30% reduced LLM spending.
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Product Reviews·2 min
Perfect-Web-Clone: A Deep Dive into the Pixel-Perfect Web Cloning Tool Built on Multi-Agent Architecture
Deep dive into the Perfect-Web-Clone open-source project: how its Claude Agent SDK multi-agent architecture and 40+ specialized tools achieve pixel-perfect web cloning beyond Cursor and single-model tools.
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Tech Frontiers·3 min
Simulation Reshaping AI Testing: A New Paradigm for Systematically Validating AI Application Reliability
Explore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
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Product Reviews·3 min
Team Memory MCP: A Deep Dive into the Shared Memory System for AI Coding Agents
Deep dive into team-memory-mcp, an open-source shared memory system for AI coding agents like Claude Code and Cursor, featuring Bayesian confidence scoring and temporal decay via MCP protocol.
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Tech Frontiers·2 min
Microsoft Open-Sources GitAGU: A Unified Platform for Managing AI Agent Development Workflows
Microsoft open-sources GitAGU (Git Agent Unblock), a centralized platform for discovering, configuring, and integrating AI agents into development workflows across the full SDLC.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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